Daniel Leite received the Ph.D. degree in electrical engineering from the University of Campinas, Sao Paulo, Brazil in 2012. He is currently a temporary lecturer in the Department of Electronic Engineering at the Federal University of Minas Gerais, Brazil. His current research interests include adaptive and evolving systems from data streams, granular computing, machine learning, and applications in forecasting, pattern recognition, and nonlinear systems modeling.